Computable phenotype for diagnostic error: developing the data schema for application of symptom-disease pair analysis of diagnostic error (SPADE).
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| Title: | Computable phenotype for diagnostic error: developing the data schema for application of symptom-disease pair analysis of diagnostic error (SPADE). |
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| Authors: | Hassoon A; Department of Epidemiology, 25802 Johns Hopkins University Bloomberg School of Public Health , Baltimore, MD, USA., Ng C; 5331 IQVIA Inc , San Francisco, CA, USA., Lehmann H; 1500 The Johns Hopkins University School of Medicine , Baltimore, MD, USA., Rupani H; 1500 Johns Hopkins School of Medicine , Baltimore, MD, USA., Peterson S; Emergency Medicine, 1500 Johns Hopkins University School of Medicine , Baltimore, MD, USA., Horberg MA; Mid-Atlantic Permanente Medical Group, 51637 Mid-Atlantic Permanente Research Institute , Rockville, MD, USA., Liberman AL; Neurology, 12295 Weill Cornell Medicine , New York, NY, USA., Sharp AL; Department of Research & Evaluation, 82579 Kaiser Permanente Southern California , Pasadena, CA, USA., Johansen MC; Department of Neurology and the Armstrong Institute Center for Diagnostic Excellence, 1500 Johns Hopkins University School of Medicine , Baltimore, MD, USA., McDonald K; Johns Hopkins University School of Nursing 15851 , Baltimore, MD, USA., Austin JM; Department of Anesthesia and Critical Care Medicine and the Armstrong Institute Center for Diagnostic Excellence, 1500 Johns Hopkins University School of Medicine , Baltimore, MD, USA., Newman-Toker DE; Neurology, 1501 Johns Hopkins Medicine , Baltimore, MD, USA. |
| Source: | Diagnosis (Berlin, Germany) [Diagnosis (Berl)] 2024 May 03; Vol. 11 (3), pp. 295-302. Date of Electronic Publication: 2024 May 03 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: de Gruyter Country of Publication: Germany NLM ID: 101654734 Publication Model: eCollection Cited Medium: Internet ISSN: 2194-802X (Electronic) Linking ISSN: 2194802X NLM ISO Abbreviation: Diagnosis (Berl) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2194-802X |
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| DOI: | 10.1515/dx-2023-0138 |
